Amazon Web Services (AWS)

Compensation

Full Description

Description AWS Specialist Solutions Architects (SSAs) are technologists with expert level domain-specific knowledge. They can solve our customer’s most complex problems and scale their knowledge throughout our global sales organization. Most importantly, they form the bridge between our customers and product teams, bringing first hand customer experience into our product roadmaps and feature development plans. Key job responsibilities We are looking for a strong Solutions Architect with deep expertise in agentic AI systems to enable new capabilities for our customers deploying Agentic AI workloads on AWS. This is not a traditional GenAI role—you will own the GTM strategy for the next wave of agent capabilities where AI moves from answering questions to taking action: persistent memory, dynamic user profiles and personalization, research agents, agentic AI evaluation, and responsible AI guardrails—capabilities that move agents from demos to enterprise-grade production systems. We are looking for someone who has built and shipped production-ready agentic AI systems, not just prototypes, and understands the hard architectural choices required to close the gap between demo and deployment at scale. You will interact with customers directly to understand their hardest business problems, help them architect and implement scalable agentic solutions (often via proof-of-concepts), and feed those field insights back to shape the product features that developers will build on. Working with account teams, research scientists, and product teams, you'll drive agent implementations, define new solution patterns, and create new solutions. We are part of the Worldwide Specialist Organization at AWS, a team of customer-obsessed architects and technical business leaders. We work backwards from our customer's most business-critical problems to build global go-to-market plans and scale innovations across industries and domains. About The Team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications • 10+ years of IT development or implementation/consulting in the software or Internet industries experience • 8+ years of specific technology domain areas (e.g. AI/ML, software development, cloud computing, data & analytics, systems engineering) experience • 1+ years of design, implementation, or consulting in agentic AI, multi-agent systems, or LLM-based application architectures experience Preferred Qualifications • Experience building, deploying or supporting production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale • Experience with responsible AI frameworks, guardrail architectures, and safety patterns for agent systems operating in regulated industries (e.g. financial services, healthcare, energy, public sector) • Experience designing and operationalizing evaluation frameworks for AI systems—including benchmark design, human-in-the-loop assessment, and production monitoring • Experience building and deploying production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale • Hands-on experience with foundation models, agent frameworks, tool-use patterns, retrieval-augmented generation, and evaluation methodologies for agentic AI systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, CA, Sunnyvale - 176,600.00 - 239,000.00 USD annually USA, DC, Washington Dc - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Houston - 153,600.00 - 207,800.00 USD annually USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually Company - Amazon Web Services, Inc. Job ID: A3199726